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  • fastest (low latency) method for Inter Process Communication between Java and C/C++

    - by Bastien
    Hello, I have a Java app, connecting through TCP socket to a "server" developed in C/C++. both app & server are running on the same machine, a Solaris box (but we're considering migrating to Linux eventually). type of data exchanged is simple messages (login, login ACK, then client asks for something, server replies). each message is around 300 bytes long. Currently we're using Sockets, and all is OK, however I'm looking for a faster way to exchange data (lower latency), using IPC methods. I've been researching the net and came up with references to the following technologies: - shared memory - pipes - queues but I couldn't find proper analysis of their respective performances, neither how to implement them in both JAVA and C/C++ (so that they can talk to each other), except maybe pipes that I could imagine how to do. can anyone comment about performances & feasibility of each method in this context ? any pointer / link to useful implementation information ? thanks for your help

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  • Finding most efficient transmission size in varying network latency scenarios

    - by rwmnau
    I'm building a .NET remoting client/server that will be transmitting thousands of files, of varying sizes (everything from a few bytes to hundreds of MB), and I'm curious about a general method for finding the appropriate transmission size. As I see it, there's the following tradeoff: Serialize entire file into a transmission object and transmit at once, regardless of size. This would be the fastest, but a failure during tranmission requires that the whole file be re-transmitted. If the file size is larger than something small (like 4KB), break it into 4KB chunks and transmit those, re-assembling on the server. In addition to the complexity of this, it's slower because of continued round-trips and acknowledgements, though a failure of any one piece doesn't waste much time. The ideal transmission method (when taking into account negotiation latency vs. failure rate) is somewhere in between, and I'm wondering about how to find out the best size for that particular client. Do I have some dynamic tuning step in my transmission that looks at the current bytes/second average, and then raises the transmission size until the speed starts to drop (failures overwhelm negotiation cost)? Or is there some other method for determining ideal transmission size? The application will be multi-threaded, so number of threads also factors in to the calculation. I'm not looking for a formula (though I'll take one if you've got it), but just what to consider as I create this process.

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  • How can I eliminate latency in quicktime streamed video

    - by JJFeiler
    I'm prototyping a client that displays streaming video from a HaiVision Barracuda through a quicktime client. I've been unable to reduce the buffer size below 3.0 seconds... for this application, we need as low a latency as the network allows, and prefer video dropouts to delay. I'm doing the following: - (void)applicationDidFinishLaunching:(NSNotification *)aNotification { NSString *path = [[NSBundle mainBundle] pathForResource:@"haivision" ofType:@"sdp"]; NSError *error = nil; QTMovie *qtmovie = [QTMovie movieWithFile:path error:&error]; if( error != nil ) { NSLog(@"error: %@", [error localizedDescription]); } Movie movie = [qtmovie quickTimeMovie]; long trackCount = GetMovieTrackCount(movie); Track theTrack = GetMovieTrack(movie,1); Media theMedia = GetTrackMedia(theTrack); MediaHandler theMediaHandler = GetMediaHandler(theMedia); QTSMediaPresentationParams myPres; ComponentResult c = QTSMediaGetIndStreamInfo(theMediaHandler, 1,kQTSMediaPresentationInfo, &myPres); Fixed shortdelay = 1<<15; OSErr theErr = QTSPresSetInfo (myPres.presentationID, kQTSAllStreams, kQTSTargetBufferDurationInfo, &shortdelay ); NSLog(@"OSErr %d", theErr); [movieView setMovie:qtmovie]; [movieView play:self]; } I seem to be getting valid objects/structures all the way down to the QTSPres, though the ComponentResult and OSErr are both returning -50. The streaming video plays fine, but the buffer is still 3.0seconds. Any help/insight appreciated. J

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  • How is it possible for SSD's drives to have such a good latency?

    - by tigrou
    First time i read some information about SSD's, i was surprised to learn they internally use NAND flash chips. This kind of memory is generally slow (low bandwidth) and have high latency while SSD's are just the opposite. But here is how it works : SSD drives increase their bandwidth by using several NAND flash chips in parallel. In other words, they do some data striping (aka RAID0) across several chips (done by the controller). What i don't understand is how SSD's drives have such a low latency, whereas they are using NAND chips? (or at least lot better than what a typical single NAND chip would do) EDIT: I think under-estimate NAND chip capabilities. USB drives, while powered by NAND's are mostly limited by USB protocol (which have a pretty high latency) and the USB controller. That explain their poor performance in some cases.

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  • Finding latency issues (stalls) in embedded Linux systems

    - by camh
    I have an embedded Linux system running on an Atmel AT91SAM9260EK board on which I have two processes running at real-time priority. A manager process periodically "pings" a worker process using POSIX message queues to check the health of the worker process. Usually the round-trip ping takes about 1ms, but very occasionally it takes much longer - about 800ms. There are no other processes that run at a higher priority. It appears the stall may be related to logging (syslog). If I stop logging the problem seems to go away. However it makes no difference if the log file is on JFFS2 or NFS. No other processes are writing to the "disk" - just syslog. What tools are available to me to help me track down why these stalls are occurring? I am aware of latencytop and will be using that. Are there some other tools that may be more useful? Some details: Kernel version: 2.6.32.8 libc (syslog functions): uClibc 0.9.30.1 syslog: busybox 1.15.2

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  • How to reduce latency of data sent through a REST api

    - by Sid
    I have an application which obtains data in JSON format from one of our other servers. The problem I am facing is, there is is significant delay when when requesting for this information. Since a lot of data is passed (approx 1000 records per request where each record is pretty huge) is there a way that compression would help reducing the speed. If so which compression scheme would you recommend. I read on another thread that they pattern of data also matters a lot on they type of compression that needs to be used. The pattern of data is consistent and resembles the following :desc=>some_description :url=>some_url :content=>some_content :score=>some_score :more_attributes=>more_data Can someone recommend a solution to how I could reduce this delay. They delay is approx 6-8 seconds. I'm using Ruby on Rails to develop this application and the server providing the data uses Python for the most part.

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  • what is acceptable datastore latency on VMware ESXi host?

    - by BeowulfNode42
    Looking at our performance figures on our existing VMware ESXi 4.1 host at the Datastore/Real-time performance data Write Latency Avg 14 ms Max 41 ms Read Latency Avg 4.5 ms Max 12 ms People don't seem to be complaining too much about it being slow with those numbers. But how much higher could they get before people found it to be a problem? We are reviewing our head office systems due to running low on storage space, and are tossing up between buying a 2nd VM host with DAS or buying some sort of NAS for SMB file shares in the near term and maybe running VMs from it in the longer term. Currently we have just under 40 staff at head office with 9 smaller branches spread across the country. Head office is runnning in an MS RDS session based environment with linux ERP and mail systems. In total 22 VMs on a single host with DAS made from a RAID 10 made of 6x 15k SAS disks.

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  • How to monitor changes in the frequency of network latency spikes over time?

    - by dequis
    I'm currently trying to troubleshoot an issue with my network in which I get latency spikes up to 200 seconds (normally around 50 secs) in an apparently random way at apparently random moments of the day. While trying to find what part of my messy network needs to be blamed (outside of the scope of this question - discussed a bit on chat), I realized I have no reliable way to confirm that a change actually improved anything. So far, the main way in which i notice this is that irssi shows [Lag: 15 (??)] in the statusbar, increasing every 5 seconds, and all other connections seem to be affected too. Since this depends on my observations, it's not a very reliable method to know how often it really happens. Note that just sending ICMP pings is probably not enough, but that's just my guess. It might be a "bufferbloat" issue, it might be packet loss, it might only apply to persistent connections. I suspect this because a few months ago, when the issue started, I had a "ping" command running in background and it didn't show anything weird at all during the latency spikes. This seems to have changed now (pings don't go through), but still, I'd prefer something more robust.

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  • Why is the latency on one LVM volume consistently higher?

    - by David Schmitt
    I've got a server with LVM over RAID1. One of the volumes has a consistently higher IO latency (as measured by the diskstats_latency munin plugin) than the other volumes from the same group. As you can see, the dark orange /root volume has consistently high IO latency. Actually ten times the average latency of the physical devices. It also has the highest Min and Max values. My main concern are not the peaks, which occur under high load, but the constant load on (semi-)idle. The server is running Debian Squeeze with the VServer kernel and has four VServer containers and one KVM guest. I'm looking for ways to fix - or at least understand - this situation. Here're some parts of the system configuration: root@kvmhost2:~# df -h Filesystem Size Used Avail Use% Mounted on /dev/mapper/system--host-root 19G 3.8G 14G 22% / tmpfs 16G 0 16G 0% /lib/init/rw udev 16G 224K 16G 1% /dev tmpfs 16G 0 16G 0% /dev/shm /dev/md0 942M 37M 858M 5% /boot /dev/mapper/system--host-isos 28G 19G 8.1G 70% /srv/isos /dev/mapper/system--host-vs_a 30G 23G 6.0G 79% /var/lib/vservers/a /dev/mapper/system--host-vs_b 5.0G 594M 4.1G 13% /var/lib/vservers/b /dev/mapper/system--host-vs_c 5.0G 555M 4.2G 12% /var/lib/vservers/c /dev/loop0 4.4G 4.4G 0 100% /media/debian-6.0.0-amd64-DVD-1 /dev/loop1 4.4G 4.4G 0 100% /media/debian-6.0.0-i386-DVD-1 /dev/mapper/system--host-vs_d 74G 55G 16G 78% /var/lib/vservers/d root@kvmhost2:~# cat /proc/mounts rootfs / rootfs rw 0 0 none /sys sysfs rw,nosuid,nodev,noexec,relatime 0 0 none /proc proc rw,nosuid,nodev,noexec,relatime 0 0 none /dev devtmpfs rw,relatime,size=16500836k,nr_inodes=4125209,mode=755 0 0 none /dev/pts devpts rw,nosuid,noexec,relatime,gid=5,mode=620,ptmxmode=000 0 0 /dev/mapper/system--host-root / ext3 rw,relatime,errors=remount-ro,data=ordered 0 0 tmpfs /lib/init/rw tmpfs rw,nosuid,relatime,mode=755 0 0 tmpfs /dev/shm tmpfs rw,nosuid,nodev,relatime 0 0 fusectl /sys/fs/fuse/connections fusectl rw,relatime 0 0 /dev/md0 /boot ext3 rw,sync,relatime,errors=continue,data=ordered 0 0 /dev/mapper/system--host-isos /srv/isos ext3 rw,relatime,errors=continue,data=ordered 0 0 /dev/mapper/system--host-vs_a /var/lib/vservers/a ext3 rw,relatime,errors=continue,data=ordered 0 0 /dev/mapper/system--host-vs_b /var/lib/vservers/b ext3 rw,relatime,errors=continue,data=ordered 0 0 /dev/mapper/system--host-vs_c /var/lib/vservers/c ext3 rw,relatime,errors=continue,data=ordered 0 0 /dev/loop0 /media/debian-6.0.0-amd64-DVD-1 iso9660 ro,relatime 0 0 /dev/loop1 /media/debian-6.0.0-i386-DVD-1 iso9660 ro,relatime 0 0 /dev/mapper/system--host-vs_d /var/lib/vservers/d ext3 rw,relatime,errors=continue,data=ordered 0 0 root@kvmhost2:~# cat /proc/mdstat Personalities : [raid1] md1 : active raid1 sda2[0] sdb2[1] 975779968 blocks [2/2] [UU] md0 : active raid1 sda1[0] sdb1[1] 979840 blocks [2/2] [UU] unused devices: <none> root@kvmhost2:~# iostat -x Linux 2.6.32-5-vserver-amd64 (kvmhost2) 06/28/2012 _x86_64_ (8 CPU) avg-cpu: %user %nice %system %iowait %steal %idle 3.09 0.14 2.92 1.51 0.00 92.35 Device: rrqm/s wrqm/s r/s w/s rsec/s wsec/s avgrq-sz avgqu-sz await svctm %util sda 23.25 161.12 7.46 37.90 855.27 1596.62 54.05 0.13 2.80 1.76 8.00 sdb 22.82 161.36 7.36 37.66 850.29 1596.62 54.35 0.54 12.01 1.80 8.09 md0 0.00 0.00 0.00 0.00 0.14 0.02 38.44 0.00 0.00 0.00 0.00 md1 0.00 0.00 53.55 198.16 768.01 1585.25 9.35 0.00 0.00 0.00 0.00 dm-0 0.00 0.00 0.48 20.21 16.70 161.71 8.62 0.26 12.72 0.77 1.60 dm-1 0.00 0.00 3.62 10.03 28.94 80.21 8.00 0.19 13.68 1.59 2.17 dm-2 0.00 0.00 0.00 0.00 0.00 0.00 9.17 0.00 9.64 6.42 0.00 dm-3 0.00 0.00 6.73 0.41 53.87 3.28 8.00 0.02 3.44 0.12 0.09 dm-4 0.00 0.00 17.45 18.18 139.57 145.47 8.00 0.42 11.81 0.76 2.69 dm-5 0.00 0.00 2.50 46.38 120.50 371.07 10.06 0.69 14.20 0.46 2.26 dm-6 0.00 0.00 0.02 0.10 0.67 0.81 12.53 0.01 75.53 18.58 0.22 dm-7 0.00 0.00 0.00 0.00 0.00 0.00 7.99 0.00 11.24 9.45 0.00 dm-8 0.00 0.00 22.69 102.76 407.25 822.09 9.80 0.97 7.71 0.39 4.95 dm-9 0.00 0.00 0.06 0.08 0.50 0.62 8.00 0.07 481.23 11.72 0.16 root@kvmhost2:~# ls -l /dev/mapper/ total 0 crw------- 1 root root 10, 59 May 11 11:19 control lrwxrwxrwx 1 root root 7 Jun 5 15:08 system--host-kvm1 -> ../dm-4 lrwxrwxrwx 1 root root 7 Jun 5 15:08 system--host-kvm2 -> ../dm-3 lrwxrwxrwx 1 root root 7 Jun 5 15:06 system--host-isos -> ../dm-2 lrwxrwxrwx 1 root root 7 May 11 11:19 system--host-root -> ../dm-0 lrwxrwxrwx 1 root root 7 Jun 5 15:06 system--host-swap -> ../dm-9 lrwxrwxrwx 1 root root 7 Jun 5 15:06 system--host-vs_d -> ../dm-8 lrwxrwxrwx 1 root root 7 Jun 5 15:06 system--host-vs_b -> ../dm-6 lrwxrwxrwx 1 root root 7 Jun 5 15:06 system--host-vs_c -> ../dm-7 lrwxrwxrwx 1 root root 7 Jun 5 15:06 system--host-vs_a -> ../dm-5 lrwxrwxrwx 1 root root 7 Jun 5 15:08 system--host-kvm3 -> ../dm-1 root@kvmhost2:~#

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  • alternative to environment variables

    - by tonyl7126
    The amount of servers and the complexity of our application is growing and we now have servers in different regions (hosted on AWS). Certain database operations require low latency so we have stuck a database in each region (which is basically a user cache) to keep the network latency low. The way the application server currently knows which user cache/database to make its call to depends on an environemnt variable set in it. This has been working fine, but it seems hacky and not optimal. Is there any way for this to be done automatically? I was considering using a package like fping and pinging each database when the app server reloads (or caching it the first time) and using the corresponding latencies to decide which database has the lowest latency for each app server. Not sure if this is the best idea though.

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  • Psychonauts crashes right after entering load save door

    - by user67974
    Psychonauts crashes right after entering the 'Load Save' door. Here is the terminal output: Shader assembly time: 0.88 seconds Found OpenAL device: 'Simple Directmedia Layer' Found OpenAL device: 'ALSA Software' Found OpenAL device: 'OSS Software' Found OpenAL device: 'PulseAudio Software' Opened OpenAL Device: '(null)' ERROR: CAudioDrv::CAudioDrv->alGenSources reports AL_INVALID_VALUE error. PSYCHONAUTS UNIX FILENAME: corrected 'workresource/sounds/commonfx.isb' to 'WorkResource/Sounds/commonfx.isb' PSYCHONAUTS UNIX FILENAME: corrected 'workresource/sounds/commonvoice.isb' to 'WorkResource/Sounds/commonvoice.isb' PSYCHONAUTS UNIX FILENAME: corrected 'workresource/sounds/commonmusic.isb' to 'WorkResource/Sounds/commonmusic.isb' PSYCHONAUTS UNIX FILENAME: corrected 'workresource/sounds/commonmentalfx.isb' to 'WorkResource/Sounds/commonmentalfx.isb' PSYCHONAUTS UNIX FILENAME: corrected 'workresource/sounds/commonmenfxmem.isb' to 'WorkResource/Sounds/commonmenfxmem.isb' PSYCHONAUTS UNIX FILENAME: corrected 'workresource/sounds/commonfxmem.isb' to 'WorkResource/Sounds/commonfxmem.isb' GameApp::StartUp InitSoundFiles() completed in 0.15 seconds GameApp::StartUp Load some common textures completed in 0.00 seconds WARN: ENGINE: Lua garbage collection starting FreeUnusedBlocksInBuckets released 0 Kb GameApp::StartUp InitEntities() completed in 0.02 seconds PSYCHONAUTS UNIX FILENAME: corrected 'WorkResource/SavedGames/savegameprefs.ini' to 'WorkResource/SAVEDGAMES/savegameprefs.ini' PSYCHONAUTS UNIX FILENAME: corrected 'WorkResource/SavedGames/savegameprefs.ini' to 'WorkResource/SAVEDGAMES/savegameprefs.ini' GameApp::StartUp m_pSaveLoadInterface->Startup() completed in 0.00 seconds GameApp::StartUp m_UserInterface.Setup() completed in 0.00 seconds STUBBED: multisample at EDisplayOptionsWidget (/home/icculus/projects/psychonauts/Source/game/luatest/Game/UIPCDisplayOptions.cpp:97) STUBBED: VK_* at CheckVirtualKey (/home/icculus/projects/psychonauts/Source/CommonLibs/DirectX/SDLInput.cpp:1443) Game: Engine Running hook startup Game: Engine -> SetupGlobalObjects Game: Engine -> SetupLevelMenu Game: Engine -> InitMath GameApp::StartUp InitLua2() completed in 0.00 seconds GameApp::StartUp SetupLevelMenu() completed in 0.00 seconds STUBBED: do we even use this? at InitSocket (/home/icculus/projects/psychonauts/Source/game/luatest/Game/Gameplaylogger.cpp:210) GameApp::StartUp Post-Install total completed in 0.20 seconds Start Up completed in 1.57 seconds UnixMain: StartUp successful.. Working directory: /opt/psychonauts STUBBED: dispatch SDL events at PCMainHandleAnyWindowsMessages (/home/icculus/projects/psychonauts/Source/game/luatest/UnixMain.cpp:56) STUBBED: write me at GetJoystickInput (/home/icculus/projects/psychonauts/Source/CommonLibs/DirectX/SDLInput.cpp:428) STUBBED: write me at GetJoystickActionValue (/home/icculus/projects/psychonauts/Source/CommonLibs/DirectX/SDLInput.cpp:613) PSYCHONAUTS UNIX FILENAME: corrected 'workresource/cutScenes/prerendered/dflogo.bik' to 'WorkResource/cutscenes/prerendered/DFLogo.bik' Prerender subtitle file: workresource\cutScenes\prerendered\dflogo.dfs not found PSYCHONAUTS UNIX FILENAME: corrected 'workresource/cutScenes/prerendered/dflogo.bik' to 'WorkResource/cutscenes/prerendered/DFLogo.bik' STUBBED: fixed function pipeline? at setColorOp (/home/icculus/projects/psychonauts/Source/CommonLibs/DFGraphics/Texture.cpp:2097) STUBBED: fixed function pipeline? at setColorArg1 (/home/icculus/projects/psychonauts/Source/CommonLibs/DFGraphics/Texture.cpp:2106) STUBBED: fixed function pipeline? at setColorArg2 (/home/icculus/projects/psychonauts/Source/CommonLibs/DFGraphics/Texture.cpp:2115) STUBBED: fixed function pipeline? at setAlphaOp (/home/icculus/projects/psychonauts/Source/CommonLibs/DFGraphics/Texture.cpp:2124) STUBBED: fixed function pipeline? at setAlphaArg1 (/home/icculus/projects/psychonauts/Source/CommonLibs/DFGraphics/Texture.cpp:2133) STUBBED: fixed function pipeline? at setAlphaArg2 (/home/icculus/projects/psychonauts/Source/CommonLibs/DFGraphics/Texture.cpp:2142) STUBBED: fixed function pipeline? at setProjected (/home/icculus/projects/psychonauts/Source/CommonLibs/DFGraphics/Texture.cpp:2223) LOC WARN: Could not open Localization file 'Localization/English/_StringTable.lub' STUBBED: memory status at UpdateMemoryTracking (/home/icculus/projects/psychonauts/Source/game/luatest/Game/GameApp.cpp:4884) WARN: Couldn't resize array to 128; out-of-bounds elements are still in use: Vertex Pool, 188 Loading new level 'STMU' STUBBED: Need multithreaded GL at DisplayLoadingScreen (/home/icculus/projects/psychonauts/Source/game/luatest/Game/LoadingScreen.cpp:83) ========================= Memory post unload level ========================= ========================= LOC WARN: Could not open Localization file 'Localization/English/ST_StringTable.lub' DaveD: Info: Texture pack file contains 137 textures Doing a texture readback for locking! Game: Engine Saved[GLOBAL]: InstaHintFord_HostileRecord = [table] Game: Engine Saved[GLOBAL]: InstaHintFord_HostileOrder = [table] WARN: Redundant packfile read: anims\thought_bubble\bubblefirestarting.jan WARN: Redundant packfile read: anims\thought_bubble\bubbleintothemind.jan WARN: Redundant packfile read: anims\thought_bubble\bubbleinvisibility.jan WARN: Redundant packfile read: anims\thought_bubble\bubblepopperfill.jan WARN: Redundant packfile read: anims\thought_bubble\bubbletelekinesis.jan Initializing level script (if there is one) PSYCHONAUTS UNIX FILENAME: corrected 'workresource/sounds/stfx.isb' to 'WorkResource/Sounds/stfx.isb' Game: Engine Reloading goals: Game: Engine Saved[GLOBAL]: NextEncouragement = '/GLZF014TO/ 10' Game: Engine Saved[GLOBAL]: bUsedSalts = 0 Game: Engine Saved[GLOBAL]: bSTEntered = 1 Game: Engine Saved[GLOBAL]: memoriesST = 1 Game: Engine Saved[GLOBAL]: PsiBallColor = 'red' Game: Engine Saved[ST]: lastSubLevel = 'STMU' Game: Engine LOADING LEVEL st.STMU Game: Engine Saved[CA]: CALevelState = 1 Game: Engine Cutscene progression: CS Script moving from state nil to state nil, resultant state nil. Time: 0.124746672809124. * Stack Trace 1: (null) (line -1, file '(none)) () 2: SpawnScript (line -1, file 'C) (global) 3: onBeginLevel (line -1, file '(none)) (field) 4: (null) (line -1, file '(none)) () WARN: Cannot call GetDirectoryListing when running from the DVD Game: Engine Raz spawning at DartStart startpoint VM : LevelScript could not find script 'doorrimlight1' * Stack Trace 1: (null) (line -1, file '(none)) () WARN: (none(-1) SetEntityAlpha LevelScript: NULL script object passed Game: Engine Saved[GLOBAL]: bLoadedFromMainMenu = 1 Game: Engine Saved[GLOBAL]: NextEncouragement = '/GLZF014TO/ 10' Game: Engine Saved[GLOBAL]: NeedRankIncrement = 0 STUBBED: Need multithreaded GL at HideLoadingScreen (/home/icculus/projects/psychonauts/Source/game/luatest/Game/LoadingScreen.cpp:110) WARN: ENGINE: Lua garbage collection starting FreeUnusedBlocksInBuckets released 0 Kb Game: Engine Saved[GLOBAL]: SplineFigmentTVSizex = 4.51434326171875 Game: Engine Saved[GLOBAL]: SplineFigmentTVSizey = 46.38104248046875 Game: Engine Saved[GLOBAL]: SplineFigmentTVSizez = 47.08810424804688 WARN: (none(-1) SetNewAction LevelScript: no string passed ====================== Asset load progression ====================== Initial: 2.518 MB Vertex, 8.688 MB Texture Level : 3.719 MB Vertex, 22.535 MB Texture Scripts: 3.747 MB Vertex, 22.848 MB Texture ====================== ====================== Memory post level load ====================== ====================== WARN: ENGINE: Lua garbage collection starting FreeUnusedBlocksInBuckets released 0 Kb DaveD: Level loaded in 0.14 seconds Anim: anims\objects\tk_arrow_idle.jan: loaded (1 frames latency) Anim: anims\dartnew\helmet\darthelmetdn.jan: loaded (1 frames latency) Anim: anims\thought_bubble\shieldloop.jan: loaded (1 frames latency) Anim: anims\dartnew\standready.jan: loaded (1 frames latency) Anim: anims\dartnew\walkmove.jan: loaded (1 frames latency) Anim: anims\janitor\hint_end.jan: loaded (1 frames latency) Anim: anims\thought_bubble\ballstatic.jan: loaded (1 frames latency) Anim: anims\dartnew\actionfall.jan: loaded (1 frames latency) Anim: anims\dartnew\standstill.jan: loaded (1 frames latency) Anim: anims\dartnew\pack\packbounce_lf_rt.jan: loaded (1 frames latency) Anim: anims\dartnew\pack\packbounce_up_dn.jan: loaded (1 frames latency) Anim: anims\dartnew\helmet\darthelmetdefpose.jan: loaded (1 frames latency) 1: 1 (number) 1: 1 (number) STUBBED: This is probably wrong at GetDt (/home/icculus/projects/psychonauts/Source/CommonLibs/DFUtil/Profiler.cpp:181) STUBBED: set specular highlights at setSpecularEnable (/home/icculus/projects/psychonauts/Source/CommonLibs/DFGraphics/Renderer.cpp:2035) Anim: anims\dartnew\trnrtcycle.jan: loaded (1 frames latency) Anim: anims\dartnew\run.jan: loaded (1 frames latency) Anim: anims\dartnew\walk.jan: loaded (1 frames latency) Anim: anims\thought_bubble\bubbledoublejump.jan: loaded (1 frames latency) Anim: anims\dartnew\longjump.jan: loaded (1 frames latency) Anim: anims\menubrain\door1crack.jan: loaded (1 frames latency) Anim: anims\menubrain\door1crackedidle.jan: loaded (1 frames latency) Anim: anims\menubrain\door1closedidle.jan: loaded (1 frames latency) Anim: anims\dartnew\180.jan: loaded (1 frames latency) Anim: anims\menubrain\door3crack.jan: loaded (1 frames latency) Anim: anims\menubrain\door3crackedidle.jan: loaded (1 frames latency) Anim: anims\menubrain\door3closedidle.jan: loaded (1 frames latency) Anim: anims\dartnew\railslide45angle.jan: loaded (1 frames latency) Anim: anims\dartnew\railslideflat.jan: loaded (1 frames latency) Anim: anims\dartnew\trnlfcycle.jan: loaded (1 frames latency) WARN: (none(-1) SetNewAction LevelScript: no string passed Anim: anims\dartnew\mainmenu_jump.jan: loaded (1 frames latency) Anim: anims\menubrain\door1open.jan: loaded (1 frames latency) ERROR: Assert in /home/icculus/projects/psychonauts/Source/game/luatest/../../CommonLibs/Include/../DFGraphics/Color.h, line 96 v.x >= 0.0f && v.x <= 1.0f && v.y >= 0.0f && v.y <= 1.0f && v.z >= 0.0f && v.z <= 1.0f && v.w >= 0.0f && v.w <= 1.0f Encountered Error: Psychonauts has encountered an error /home/icculus/projects/psychonauts/Source/game/luatest/../../CommonLibs/Include/../DFGraphics/Color.h, line 96 v.x >= 0.0f && v.x <= 1.0f && v.y >= 0.0f && v.y <= 1.0f && v.z >= 0.0f && v.z <= 1.0f && v.w >= 0.0f && v.w <= 1.0f Please contact technical support at http://www.doublefine.com. I am currently using Bumblebee for hybrid graphics, if that helps in any way.

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  • VLC Caching levels

    - by Svish
    When I open the Preferences of VLC and go to Input & Codecs, I have a setting called Default Caching Level. I can choose between Cusom Lowest latency Low latency Normal High latency Higher latency I'm used to caching being set in seconds or something like that. So, more seconds/higher buffer means less chane of buffer underrun while streaming. What is latency? What does it mean to set it lower or higher? In what cases should I go in what direction? If I'm struggling with buffer underruns, should I set it to lower or higher latency?

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  • Trying to find video of a talk on the impact of memory access latency

    - by user12889
    Some months ago I stumbled across a video on the internet of somebody giving a very good talk on the impact of memory access latency on the execution of programs. I'm trying to find the video again; maybe you know what video I mean and were I can find it. This is what I remember about the talk/video: I don't remember the title and it may have been broader, but the talk was a lot about impact of memory access latency in modern processors on program execution. The talk was in English and most likely the location was in America. The speaker was very knowledgeable about the topic, but the talk was in an informal setting (not a conference presentation or university lecture). I think the speaker was known to the audience and may even have been famous (I don't remember) The audience may have been a computer club / group of a local community or company (but I don't remember for sure)

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  • What is your development checklist for Java low-latency application?

    - by user49767
    I would like to create comprehensive checklist for Java low latency application. Can you add your checklist here? Here is my list 1. Make your objects immutable 2. Try to reduce synchronized method 3. Locking order should be well documented, and handled carefully 4. Use profiler 5. Use Amdhal's law, and find the sequential execution path 6. Use Java 5 concurrency utilities, and locks 7. Avoid Thread priorities as they are platform dependent 8. JVM warmup can be used As per my definition, low-latency application is tuned for every Milli-seconds.

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  • How to Avoid Your Next 12-Month Science Project

    - by constant
    While most customers immediately understand how the magic of Oracle's Hybrid Columnar Compression, intelligent storage servers and flash memory make Exadata uniquely powerful against home-grown database systems, some people think that Exalogic is nothing more than a bunch of x86 servers, a storage appliance and an InfiniBand (IB) network, built into a single rack. After all, isn't this exactly what the High Performance Computing (HPC) world has been doing for decades? On the surface, this may be true. And some people tried exactly that: They tried to put together their own version of Exalogic, but then they discover there's a lot more to building a system than buying hardware and assembling it together. IT is not Ikea. Why is that so? Could it be there's more going on behind the scenes than merely putting together a bunch of servers, a storage array and an InfiniBand network into a rack? Let's explore some of the special sauce that makes Exalogic unique and un-copyable, so you can save yourself from your next 6- to 12-month science project that distracts you from doing real work that adds value to your company. Engineering Systems is Hard Work! The backbone of Exalogic is its InfiniBand network: 4 times better bandwidth than even 10 Gigabit Ethernet, and only about a tenth of its latency. What a potential for increased scalability and throughput across the middleware and database layers! But InfiniBand is a beast that needs to be tamed: It is true that Exalogic uses a standard, open-source Open Fabrics Enterprise Distribution (OFED) InfiniBand driver stack. Unfortunately, this software has been developed by the HPC community with fastest speed in mind (which is good) but, despite the name, not many other enterprise-class requirements are included (which is less good). Here are some of the improvements that Oracle's InfiniBand development team had to add to the OFED stack to make it enterprise-ready, simply because typical HPC users didn't have the need to implement them: More than 100 bug fixes in the pieces that were not related to the Message Passing Interface Protocol (MPI), which is the protocol that HPC users use most of the time, but which is less useful in the enterprise. Performance optimizations and tuning across the whole IB stack: From Switches, Host Channel Adapters (HCAs) and drivers to low-level protocols, middleware and applications. Yes, even the standard HPC IB stack could be improved in terms of performance. Ethernet over IB (EoIB): Exalogic uses InfiniBand internally to reach high performance, but it needs to play nicely with datacenters around it. That's why Oracle added Ethernet over InfiniBand technology to it that allows for creating many virtual 10GBE adapters inside Exalogic's nodes that are aggregated and connected to Exalogic's IB gateway switches. While this is an open standard, it's up to the vendor to implement it. In this case, Oracle integrated the EoIB stack with Oracle's own IB to 10GBE gateway switches, and made it fully virtualized from the beginning. This means that Exalogic customers can completely rewire their server infrastructure inside the rack without having to physically pull or plug a single cable - a must-have for every cloud deployment. Anybody who wants to match this level of integration would need to add an InfiniBand switch development team to their project. Or just buy Oracle's gateway switches, which are conveniently shipped with a whole server infrastructure attached! IPv6 support for InfiniBand's Sockets Direct Protocol (SDP), Reliable Datagram Sockets (RDS), TCP/IP over IB (IPoIB) and EoIB protocols. Because no IPv6 = not very enterprise-class. HA capability for SDP. High Availability is not a big requirement for HPC, but for enterprise-class application servers it is. Every node in Exalogic's InfiniBand network is connected twice for redundancy. If any cable or port or HCA fails, there's always a replacement link ready to take over. This requires extra magic at the protocol level to work. So in addition to Weblogic's failover capabilities, Oracle implemented IB automatic path migration at the SDP level to avoid unnecessary failover operations at the middleware level. Security, for example spoof-protection. Another feature that is less important for traditional users of InfiniBand, but very important for enterprise customers. InfiniBand Partitioning and Quality-of-Service (QoS): One of the first questions we get from customers about Exalogic is: “How can we implement multi-tenancy?” The answer is to partition your IB network, which effectively creates many networks that work independently and that are protected at the lowest networking layer possible. In addition to that, QoS allows administrators to prioritize traffic flow in multi-tenancy environments so they can keep their service levels where it matters most. Resilient IB Fabric Management: InfiniBand is a self-managing network, so a lot of the magic lies in coming up with the right topology and in teaching the subnet manager how to properly discover and manage the network. Oracle's Infiniband switches come with pre-integrated, highly available fabric management with seamless integration into Oracle Enterprise Manager Ops Center. In short: Oracle elevated the OFED InfiniBand stack into an enterprise-class networking infrastructure. Many years and multiple teams of manpower went into the above improvements - this is something you can only get from Oracle, because no other InfiniBand vendor can give you these features across the whole stack! Exabus: Because it's not About the Size of Your Network, it's How You Use it! So let's assume that you somehow were able to get your hands on an enterprise-class IB driver stack. Or maybe you don't care and are just happy with the standard OFED one? Anyway, the next step is to actually leverage that InfiniBand performance. Here are the choices: Use traditional TCP/IP on top of the InfiniBand stack, Develop your own integration between your middleware and the lower-level (but faster) InfiniBand protocols. While more bandwidth is always a good thing, it's actually the low latency that enables superior performance for your applications when running on any networking infrastructure: The lower the latency, the faster the response travels through the network and the more transactions you can close per second. The reason why InfiniBand is such a low latency technology is that it gets rid of most if not all of your traditional networking protocol stack: Data is literally beamed from one region of RAM in one server into another region of RAM in another server with no kernel/drivers/UDP/TCP or other networking stack overhead involved! Which makes option 1 a no-go: Adding TCP/IP on top of InfiniBand is like adding training wheels to your racing bike. It may be ok in the beginning and for development, but it's not quite the performance IB was meant to deliver. Which only leaves option 2: Integrating your middleware with fast, low-level InfiniBand protocols. And this is what Exalogic's "Exabus" technology is all about. Here are a few Exabus features that help applications leverage the performance of InfiniBand in Exalogic: RDMA and SDP integration at the JDBC driver level (SDP), for Oracle Weblogic (SDP), Oracle Coherence (RDMA), Oracle Tuxedo (RDMA) and the new Oracle Traffic Director (RDMA) on Exalogic. Using these protocols, middleware can communicate a lot faster with each other and the Oracle database than by using standard networking protocols, Seamless Integration of Ethernet over InfiniBand from Exalogic's Gateway switches into the OS, Oracle Weblogic optimizations for handling massive amounts of parallel transactions. Because if you have an 8-lane Autobahn, you also need to improve your ramps so you can feed it with many cars in parallel. Integration of Weblogic with Oracle Exadata for faster performance, optimized session management and failover. As you see, “Exabus” is Oracle's word for describing all the InfiniBand enhancements Oracle put into Exalogic: OFED stack enhancements, protocols for faster IB access, and InfiniBand support and optimizations at the virtualization and middleware level. All working together to deliver the full potential of InfiniBand performance. Who else has 100% control over their middleware so they can develop their own low-level protocol integration with InfiniBand? Even if you take an open source approach, you're looking at years of development work to create, test and support a whole new networking technology in your middleware! The Extras: Less Hassle, More Productivity, Faster Time to Market And then there are the other advantages of Engineered Systems that are true for Exalogic the same as they are for every other Engineered System: One simple purchasing process: No headaches due to endless RFPs and no “Will X work with Y?” uncertainties. Everything has been engineered together: All kinds of bugs and problems have been already fixed at the design level that would have only manifested themselves after you have built the system from scratch. Everything is built, tested and integrated at the factory level . Less integration pain for you, faster time to market. Every Exalogic machine world-wide is identical to Oracle's own machines in the lab: Instant replication of any problems you may encounter, faster time to resolution. Simplified patching, management and operations. One throat to choke: Imagine finger-pointing hell for systems that have been put together using several different vendors. Oracle's Engineered Systems have a single phone number that customers can call to get their problems solved. For more business-centric values, read The Business Value of Engineered Systems. Conclusion: Buy Exalogic, or get ready for a 6-12 Month Science Project And here's the reason why it's not easy to "build your own Exalogic": There's a lot of work required to make such a system fly. In fact, anybody who is starting to "just put together a bunch of servers and an InfiniBand network" is really looking at a 6-12 month science project. And the outcome is likely to not be very enterprise-class. And it won't have Exalogic's performance either. Because building an Engineered System is literally rocket science: It takes a lot of time, effort, resources and many iterations of design/test/analyze/fix to build such a system. That's why InfiniBand has been reserved for HPC scientists for such a long time. And only Oracle can bring the power of InfiniBand in an enterprise-class, ready-to use, pre-integrated version to customers, without the develop/integrate/support pain. For more details, check the new Exalogic overview white paper which was updated only recently. P.S.: Thanks to my colleagues Ola, Paul, Don and Andy for helping me put together this article! var flattr_uid = '26528'; var flattr_tle = 'How to Avoid Your Next 12-Month Science Project'; var flattr_dsc = 'While most customers immediately understand how the magic of Oracle's Hybrid Columnar Compression, intelligent storage servers and flash memory make Exadata uniquely powerful against home-grown database systems, some people think that Exalogic is nothing more than a bunch of x86 servers, a storage appliance and an InfiniBand (IB) network, built into a single rack.After all, isn't this exactly what the High Performance Computing (HPC) world has been doing for decades?On the surface, this may be true. And some people tried exactly that: They tried to put together their own version of Exalogic, but then they discover there's a lot more to building a system than buying hardware and assembling it together. IT is not Ikea.Why is that so? Could it be there's more going on behind the scenes than merely putting together a bunch of servers, a storage array and an InfiniBand network into a rack? Let's explore some of the special sauce that makes Exalogic unique and un-copyable, so you can save yourself from your next 6- to 12-month science project that distracts you from doing real work that adds value to your company.'; var flattr_tag = 'Engineered Systems,Engineered Systems,Infiniband,Integration,latency,Oracle,performance'; var flattr_cat = 'text'; var flattr_url = 'http://constantin.glez.de/blog/2012/04/how-avoid-your-next-12-month-science-project'; var flattr_lng = 'en_GB'

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  • How does a website latency simulator work

    - by nighthawk457
    Sites like webpagetest allow users to enter a website url and a test location, to run a speed test on the site from multiple locations using real browsers. Can anyone give me a basic idea of how sites like this work? You also have plugin's like Aptimize latency simulator or charles web debugging proxy app, that simulate the delay while accessing a site from different locations. I am assuming since these are plugin's these function in a different way. How do these plugin's work ?

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  • How to properly do weapon cool-down reload timer in multi-player laggy environment?

    - by John Murdoch
    I want to handle weapon cool-down timers in a fair and predictable way on both client on server. Situation: Multiple clients connected to server, which is doing hit detection / physics Clients have different latency for their connections to server ranging from 50ms to 500ms. They want to shoot weapons with fairly long reload/cool-down times (assume exactly 10 seconds) It is important that they get to shoot these weapons close to the cool-down time, as if some clients manage to shoot sooner than others (either because they are "early" or the others are "late") they gain a significant advantage. I need to show time remaining for reload on player's screen Clients can have clocks which are flat-out wrong (bad timezones, etc.) What I'm currently doing to deal with latency: Client collects server side state in a history, tagged with server timestamps Client assesses his time difference with server time: behindServerTimeNs = (behindServerTimeNs + (System.nanoTime() - receivedState.getServerTimeNs())) / 2 Client renders all state received from server 200 ms behind from his current time, adjusted by what he believes his time difference with server time is (whether due to wrong clocks, or lag). If he has server states on both sides of that calculated time, he (mostly LERP) interpolates between them, if not then he (LERP) extrapolates. No other client-side prediction of movement, e.g., to make his vehicle seem more responsive is done so far, but maybe will be added later So how do I properly add weapon reload timers? My first idea would be for the server to send each player the time when his reload will be done with each world state update, the client then adjusts it for the clock difference and thus can estimate when the reload will be finished in client-time (perhaps considering also for latency that the shoot message from client to server will take as well?), and if the user mashes the "shoot" button after (or perhaps even slightly before?) that time, send the shoot event. The server would get the shoot event and consider the time shot was made as the server time when it was received. It would then discard it if it is nowhere near reload time, execute it immediately if it is past reload time, and hold it for a few physics cycles until reload is done in case if it was received a bit early. It does all seem a bit convoluted, and I'm wondering whether it will work (e.g., whether it won't be the case that players with lower ping get better reload rates), and whether there are more elegant solutions to this problem.

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  • Get rid of 0.5s latency when playing audio over Bluetooth with A2DP

    - by brillout.com
    As described in the title I experience a half a second delay when playing audio over Bluetooth with A2DP. This makes watching movies not possible as the sound is not synchronised with the video. I'm not sure if the delay is caused by the Bluetooth connection, the A2PD protocol, or the A2DP implementation on my Ubuntu 12.04. Anyways, is this a normal lag? Is there a way to play audio over Bluetooth without any latency?

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  • Simulating a low-bandwidth, high-latency network connection on Linux

    - by Justin L.
    I'd like to simulate a high-latency, low-bandwidth network connection on my Linux machine. Limiting bandwidth has been discussed before, e.g. here, but I can't find any posts which address limiting both bandwidth and latency. I can get either high latency or low bandwidth using tc. But I haven't been able to combine these into a single connection. In particular, the example rate control script here doesn't work for me: # tc qdisc add dev lo root handle 1:0 netem delay 100ms # tc qdisc add dev lo parent 1:1 handle 10: tbf rate 256kbit buffer 1600 limit 3000 RTNETLINK answers: Operation not supported How can I create a low-bandwidth, high-latency connection, using tc or any other readily-available tool?

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  • Two network cards latency

    - by Ross W
    I'm trying to setup a network architecture where one network is a low-latency low-bandwidth tcp control system (GBit), the other is a high-bandwidth udp (maybe tcp) network that could get saturated (GBit). If I have two NICs inside a server running Linux. What happens to the low-bandwidth/low-latency network when the high-bandwidth gets saturated. Does each Ethernet card get the same amount of priority inside the kernel or would the low-latency network suffer from the high-bandwidth being saturated?

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  • New on the Java Channel: Low-Latency Applications, JavaFX on Raspberry PI, and more

    - by terrencebarr
    If you haven’t checked out the Java YouTube channel lately … here is some of the stuff you’re missing: Understanding the JVM and Low Latency Applications (picture) JavaFX on the Raspberry Pi 55 New Java 7 Features: Part 3 – Concurrency Properties and Binding with JavaFX 2 Intro And something fun & cool: Java @ Maker Faire 2012 Much more on the Java Channel. Enjoy! Cheers, – Terrence Filed under: Mobile & Embedded Tagged: Embedded Java, Java 7, Java Channel, Java Embedded, JavaFX, Maker Faire, Raspberry Pi, video, webcast, YouTube

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